27/31 metrics healthy4 at-risk
GitHub
Code velocity, backlog health, and issue triage
Pull Requests
Merged1,285
Opened1,340
In Review38
Closed
292P1
4
P2
18
P3
52
P4
86
Other
132
Open
187P1
2
P2
8
P3
24
P4
41
Other
112
Commits
3,840
Contributors
51
Scorecards
Engineering capability areas
Platform Reliability
Is Aspyn there when the business needs it, and does it perform the way the business expects?Uptime
99.97%
/99.9%+0.02%
Error Rate (7d)
0.06%
/0.1%-12%
p95 Latency SLO
94.3%
/95%-1.2%
p99 Latency SLO
89.1%
/90%+2.4%
Sev1 Incidents (QTR)
1
/2
MTTR
22min
/30min-18%
Error Budget Burn
34%
/100%
Solution Impact
When Engineering ships a solution, does it actually move the business?Outcome Attainment
Soon™
30d Adoption
Soon™
60d Adoption
Soon™
90d Adoption
Soon™
Reversal Rate
Soon™
Avg Time-to-Value
Soon™
Delivery Discipline
When we ship, do we ship cleanly and quickly?Deploy Frequency
4.2/day
+16%
Lead Time
Soon™
Change Failure Rate
11.2%
/15%-8.5%
PR Cycle Time
31hrs
/48hrs-14%
PR Review Time
6.2hrs
-20%
Rollback Rate
3.1%
-25%
Engineering Leverage
Is each engineer more effective this quarter than last?Platform Investment
23%
/25%+4.5%
CI Duration
8.2min
-6%
AI Tooling Adoption
100%
Throughput/Engineer
5.6PRs/wk
+12%
DX Score
Soon™
Automation Hours Saved
Soon™
Security & Trust
Is the platform safe and the company's data protected?Critical Vulns >7d
0
/0
High Vulns >30d
2
/0-50%
Median Remediation (Crit)
3.2days
-40%
Median Remediation (High)
14days
-20%
Patch Compliance
97.3%
/95%+1.8%
Data Exposure Incidents
0
/0